Aiming at a common copy-paste forgery in the research field of digital image forensics, this paper proposes a detection approach based on wavelet transform and singular value decomposition.
针对数字图像取证中一类常见的复制粘贴图像伪造，本文提出了一种基于小波变换和奇异值分解的检测算法。
This paper examines the research situation on face image detection and recognition and designs a facial feature automatic extract system.
对人脸图像检测与识别技术的研究现状进行简要论述，并自行设计一个人脸特征自动提取系统。
Lastly, based on the research of the important image feature, i. e. corner, a new Accumulative Intersection Space based corner detection method is developed.
最后，本文对一种重要的图像特征——角点进行了研究，提出了一种新的基于交点累积空间的角点提取算法。
Fabric defects detection based on image processing technology is a hot and difficult research area in computer vision and digital image processing and computer graphics.
利用计算机图像处理技术对织物疵点自动检测和识别的研究是计算机视觉、数字图像处理以及计算机图形学中的一个研究热点和难点。
Fabric defects detection based on image processing technology is a hot and difficult research area in computer vision and digital image processing and computer graphics.
利用计算机图像处理技术对织物疵点自动检测和识别的研究是计算机视觉、数字图像处理以及计算机图形学中的一个研究热点和难点。
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